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On-Line Detection of Voltage Transformer Insulation Defects Using the Low-Frequency Oscillation Amplitude and Duration of a Zero Sequence Voltage

Author

Listed:
  • Hongwen Liu

    (Electric Power Research Institute of Yunnan Electric Power Corporation, Kunming 650217, China)

  • Ke Wang

    (Electric Power Research Institute of Yunnan Electric Power Corporation, Kunming 650217, China)

  • Qing Yang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Lu Yin

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Jisheng Huang

    (Lincang Power Supply Company of Yunnan Electric Power Corporation, Lincang 677000, China)

Abstract

The insulation degradation of a voltage transformer winding is not easy to find, but it may ultimately cause the transformer to explode, leading to accidents such as phase-to-phase short circuits. At present, power transformers, lightning arresters, and other equipment have on-line methods to detect the insulation state. However, there is no mature method for the on-line monitoring of voltage transformer winding insulation. In this study, a small current disturbance method based on a zero-sequence loop is proposed. The characteristic parameters of the low-frequency oscillation of zero-sequence voltage after a disturbance are used to evaluate the insulation state of the winding and detect faults. Theoretical modeling, simulation tests, and field tests show that when the insulation resistance of the voltage transformer winding is in the range 0–40 kΩ, a low frequency oscillation of about 10 Hz can be detected on the zero-sequence voltage, and its amplitude and duration are proportional to the degree of damage to the insulation. This can hence be used as a criterion for the on-line detection of voltage transformer winding insulation defects.

Suggested Citation

  • Hongwen Liu & Ke Wang & Qing Yang & Lu Yin & Jisheng Huang, 2019. "On-Line Detection of Voltage Transformer Insulation Defects Using the Low-Frequency Oscillation Amplitude and Duration of a Zero Sequence Voltage," Energies, MDPI, vol. 12(4), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:619-:d:206223
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    References listed on IDEAS

    as
    1. Xiaomu Duan & Tong Zhao & Jinxin Liu & Li Zhang & Liang Zou, 2018. "Analysis of Winding Vibration Characteristics of Power Transformers Based on the Finite-Element Method," Energies, MDPI, vol. 11(9), pages 1-19, September.
    2. Lin Chen & Qing Yang & Jing Wang & Wenxia Sima & Tao Yuan, 2011. "Classification of Fundamental Ferroresonance, Single Phase-to-Ground and Wire Breakage Over-Voltages in Isolated Neutral Networks," Energies, MDPI, vol. 4(9), pages 1-20, August.
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    Cited by:

    1. Zhenhua Li & Yangang Zheng & Ahmed Abu-Siada & Mengyao Lu & Hongbin Li & Yanchun Xu, 2020. "Online Evaluation for the Accuracy of Electronic Voltage Transformer Based on Recursive Principal Components Analysis," Energies, MDPI, vol. 13(21), pages 1-11, October.

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